Group Method of Data Handling

The Group Method of Data Handling (GMDH) is a series of inductive algorithms for the computer-based mathematical modeling of multi-parametric datasets that incorporates fully automatic structural and parametric optimization of models. These algorithms are used in the Group Method of Data Handling (GMDH).

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Group Method of Data Handling

Chapter 2: Supervised Learning

Chapter 3: Artificial Neural Network

Chapter 4: Machine Learning

Chapter 5: Perceptron

Chapter 6: Alexey Ivakhnenko

Chapter 7: Multilayer Perceptron

Chapter 8: Minimum Description Length

Chapter 9: Nonlinear System Identification

Chapter 10: Types of Artificial Neural Networks

(II) Answering the public top questions about group method of data handling.

(III) Real world examples for the usage of group method of data handling in many fields.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of group method of data handling.

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